Genetic and physiological bases for phenological responses to current and predicted climates

Wilczek, Amity M.; Burghardt, Liana T.; Cobb, Ale×ander R.; Cooper, Martha; Welch, Stephen M.; Schmitt, Johanna

doi:10.1098/rstb.2010.0128

Cited by 191 publications

(184 citation statements)

References 161 publications

(229 reference statements)

Supporting

Mentioning

178

Contrasting

Unclassified

Order By: Relevance

“…32). In contrast, the regulation of end of season is related to a more complex interplay of multiple environmental cues and conserved ontogenetic factors common to most plant species, which will limit the potential for community-level changes with species composition and diversity (32). Irrespective of the mechanisms involved, the effects we report here are large, with biodiversity substantially modulating decadal trends in season lengthening.…”

Section: Discussionmentioning

confidence: 76%

“…One possible interpretation is that the start of season phenology in vascular plants is more strongly linked to temperature, and to processes regulated by species-specific, variable genetic pathways (e.g., genes related to responses to winter-chilling; ref. 32). In contrast, the regulation of end of season is related to a more complex interplay of multiple environmental cues and conserved ontogenetic factors common to most plant species, which will limit the potential for community-level changes with species composition and diversity (32).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Biodiversity promotes primary productivity and growing season lengthening at the landscape scale

Oehri

Schmid

Schaepman‐Strub

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

111

147

View full text Add to dashboard Cite

Experiments have shown positive biodiversity-ecosystem functioning (BEF) relationships in small plots with model communities established from species pools typically comprising few dozen species. Whether patterns found can be extrapolated to complex, nonexperimental, real-world landscapes that provide ecosystem services to humans remains unclear. Here, we combine species inventories from a large-scale network of 447 1-km 2 plots with remotely sensed indices of primary productivity (years 2000-2015). We show that landscape-scale productivity and its temporal stability increase with the diversity of plants and other taxa. Effects of biodiversity indicators on productivity were comparable in size to effects of other important drivers related to climate, topography, and land cover. These effects occurred in plots that integrated different ecosystem types (i.e., metaecosystems) and were consistent over vast environmental and altitudinal gradients. The BEF relations we report are as strong or even exceed the ones found in small-scale experiments, despite different community assembly processes and a species pool comprising nearly 2,000 vascular plant species. Growing season length increased progressively over the observation period, and this shift was accelerated in more diverse plots, suggesting that a large species pool is important for adaption to climate change. Our study further implies that abiotic global-change drivers may mediate ecosystem functioning through biodiversity changes.ecosystem function and services | EVI and NDVI land surface phenology | large spatial scale | nonexperimental, real-world ecosystems | plant, bird, and butterfly species richness

show abstract

Section: Discussionmentioning

confidence: 76%

Section: Discussionmentioning

confidence: 99%

Biodiversity promotes primary productivity and growing season lengthening at the landscape scale

Oehri

Schmid

Schaepman‐Strub

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

111

147

View full text Add to dashboard Cite

show abstract

“…Awareness of the linkages between these fields should improve the mechanistic understanding of phenology and forecasts of climate change impacts. The articles by Wilczek et al (2010) and Chuine (2010) illustrate the utility of taking a mechanistic approach to fundamental ecological questions (see also de Senerpont Domis et al (2007) for an application in a different system). Furthermore, deeper knowledge of the developmental and physiological aspects of phenology should improve our understanding of the prospects for evolutionary change in phenological traits (cf.…”

Section: Future Directionsmentioning

confidence: 99%

Toward a synthetic understanding of the role of phenology in ecology and evolution

Forrest

Miller‐Rushing

2010

Phil. Trans. R. Soc. B

571

525

View full text Add to dashboard Cite

Phenology affects nearly all aspects of ecology and evolution. Virtually all biological phenomenafrom individual physiology to interspecific relationships to global nutrient fluxes-have annual cycles and are influenced by the timing of abiotic events. Recent years have seen a surge of interest in this topic, as an increasing number of studies document phenological responses to climate change. Much recent research has addressed the genetic controls on phenology, modelling techniques and ecosystem-level and evolutionary consequences of phenological change. To date, however, these efforts have tended to proceed independently. Here, we bring together some of these disparate lines of inquiry to clarify vocabulary, facilitate comparisons among habitat types and promote the integration of ideas and methodologies across different disciplines and scales. We discuss the relationship between phenology and life history, the distinction between organismal-and population-level perspectives on phenology and the influence of phenology on evolutionary processes, communities and ecosystems. Future work should focus on linking ecological and physiological aspects of phenology, understanding the demographic effects of phenological change and explicitly accounting for seasonality and phenology in forecasts of ecological and evolutionary responses to climate change.

show abstract

“…For shortlived organisms, seasonal environmental variation may favor plasticity within populations, and thus contribute to the potential for an evolutionary response to changing climate. Annual plants, such as A. thaliana, display substantial plasticity of traits and fitness to seasonal environments, as well as genotype × season interaction (19,46,48). Climate variation across seasons is generally greater than variation between alternative climate change scenarios, so we also expect genotype × season interactions to be important for the evolutionary response under climate change (SI Appendix, Fig.…”

Section: Plasticity Of Traits and Genetic Architectures Across Seasonmentioning

confidence: 99%

“…A. thaliana is a widespread species experiencing a wide range of climates. Some populations produce multiple seasonal cohorts per year, including winter annuals as well as rapid cycling cohorts germinating in spring, summer, or early autumn (19). This species shows evidence of adaptation to climate on a broad geographic scale (2,(20)(21)(22) as well as along altitude gradients (23)(24)(25).…”

mentioning

confidence: 96%

Predicting the evolutionary dynamics of seasonal adaptation to novel climates in Arabidopsis thaliana

Fournier‐Level

Perry

Wang

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Predicting whether and how populations will adapt to rapid climate change is a critical goal for evolutionary biology. To examine the genetic basis of fitness and predict adaptive evolution in novel climates with seasonal variation, we grew a diverse panel of the annual plant Arabidopsis thaliana (multiparent advanced generation intercross lines) in controlled conditions simulating four climates: a present-day reference climate, an increased-temperature climate, a winter-warming only climate, and a poleward-migration climate with increased photoperiod amplitude. In each climate, four successive seasonal cohorts experienced dynamic daily temperature and photoperiod variation over a year. We measured 12 traits and developed a genomic prediction model for fitness evolution in each seasonal environment. This model was used to simulate evolutionary trajectories of the base population over 50 y in each climate, as well as 100-y scenarios of gradual climate change following adaptation to a reference climate. Patterns of plastic and evolutionary fitness response varied across seasons and climates. The increased-temperature climate promoted genetic divergence of subpopulations across seasons, whereas in the winter-warming and poleward-migration climates, seasonal genetic differentiation was reduced. In silico "resurrection experiments" showed limited evolutionary rescue compared with the plastic response of fitness to seasonal climate change. The genetic basis of adaptation and, consequently, the dynamics of evolutionary change differed qualitatively among scenarios. Populations with fewer founding genotypes and populations with genetic diversity reduced by prior selection adapted less well to novel conditions, demonstrating that adaptation to rapid climate change requires the maintenance of sufficient standing variation.climate change | annual plant | genomic prediction | season O ngoing climate change is causing rapid shifts in environmental selective pressures within local populations (1, 2). To persist, populations must track the shifting multivariate trait optimum by phenotypic plasticity or adaptive evolution (3, 4), or migrate to keep up with poleward shifts in their original climate niche (1). The outcome of these responses to climate change will depend upon the seasonal variation a population experiences, particularly in temperate climates, where seasonality is a major source of environmental heterogeneity (5, 6). Understanding adaptation to seasonal environments is critical for predicting the response to climate change in short-lived organisms with multiple generations per year, like many insects and annual plants. Such prediction requires theoretical projections based on solid empirical foundations, tracking phenotypic change in complex traits as well as in the molecular variation present within populations as they adapt to different seasons. Here, we use a genomic prediction model, based on experimental data from Arabidopsis thaliana, to simulate trajectories of adaptation to novel climate scenarios in season...

show abstract

Genetic and physiological bases for phenological responses to current and predicted climates

Cited by 191 publications

References 161 publications

Biodiversity promotes primary productivity and growing season lengthening at the landscape scale

Biodiversity promotes primary productivity and growing season lengthening at the landscape scale

Toward a synthetic understanding of the role of phenology in ecology and evolution

Predicting the evolutionary dynamics of seasonal adaptation to novel climates in Arabidopsis thaliana

Contact Info

Product

Resources

About